Introduction to Linked Data and Its Lifecycle on the Web

• Published in: Reasoning Web. Reasoning on the Web in the Big Data Era pp. 1 - 99
• Main Authors: Ngomo, Axel-Cyrille Ngonga, Auer, Sören, Lehmann, Jens, Zaveri, Amrapali
• Format: Book Chapter
• Language: English
• Published: Cham Springer International Publishing 2014
• Series: Lecture Notes in Computer Science
• Subjects: Inductive Logic Programming; Link Data; Link Open Data; Resource Description Framework; SPARQL Query
• ISBN: 3319105868; 9783319105864
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-319-10587-1_1

With Linked Data, a very pragmatic approach towards achieving the vision of the Semantic Web has gained some traction in the last years. The term Linked Data refers to a set of best practices for publishing and interlinking structured data on the Web. While many standards, methods and technologies developed within by the Semantic Web community are applicable for Linked Data, there are also a number of specific characteristics of Linked Data, which have to be considered. In this article we introduce the main concepts of Linked Data. We present an overview of the Linked Data life-cycle and discuss individual approaches as well as the state-of-the-art with regard to extraction, authoring, linking, enrichment as well as quality of Linked Data. We conclude the chapter with a discussion of issues, limitations and further research and development challenges of Linked Data. This article is an updated version of a similar lecture given at Reasoning Web Summer School 2013.